docstr: prediction function
docstr_tok: ["prediction","function"]
code: def predict_fn(self, input_instance):
      """prediction function"""
      if not torch.is_tensor(input_instance):
          input_instance = torch.tensor(input_instance).float()
      return self.get_model_output(
          input_instance, transform_data=False, out_tensor=False
      )
  
imports: import copy
  import random
  import timeit
  import numpy
  import torch
  from dice_ml import diverse_counterfactuals
  from dice_ml.explainer_interfaces.explainer_base import ExplainerBase
label_desc: Use image node_id 4 for calling the DicePyTorch obj's underlying member method code with example usage: obj.predict_fn(input_instance) and returns: self